Identification and restoration of noisy blurred images using the expectation-maximization algorithm
نویسندگان
چکیده
منابع مشابه
Identification and restoration of noisy blurred images using the expectation-maximization algorithm
In image restoration, it is nearly always assumed that the point-spread function of the degrading system, as well as the variance of the observation noise and a model of the original image, are known a priori. Since these parameters are unknown for practical images of interest, they have to be estimated from the noisy blurred images themselves. This paper presents a maximum likelihood approach ...
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Aggelos K, Katsaggelos, MEMBERSPIE Northwestern University McCormick School of Engineering and Applied Science Department of Electrical Engineering and Computer Science Evanston, Illinois 60208-3118 E-mail: aggk@eecs,nwu.edu Abstract. Previous work has demonstrated the effectiveness of the expectation-maximization algorithm to restore noisy and blurred singlechannel images and simultaneously id...
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ژورنال
عنوان ژورنال: IEEE Transactions on Acoustics, Speech, and Signal Processing
سال: 1990
ISSN: 0096-3518
DOI: 10.1109/29.57545